Claus Metzner

According to our database, Claus Metzner authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantifying and Maximizing the Information Flux in Recurrent Neural Networks.

Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss

Neural Comput., March, 2024

Deep learning based decoding of single local field potential events.

Achim Schilling, Richard Gerum, Claudia Boehm, Jwan Rasheed, Claus Metzner, Andreas Maier, Caroline Reindl, Hajo M. Hamer, Patrick Krauss

NeuroImage, 2024

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing.

Claus Metzner, Achim Schilling, Andreas K. Maier, Patrick Krauss

CoRR, 2024

Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT.

Patrick Krauss, Jannik Hösch, Claus Metzner, Andreas K. Maier, Peter Uhrig, Achim Schilling

CoRR, 2024

2023

Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD).

Claus Metzner, Achim Schilling, Patrick Krauss

CoRR, 2023

2022

Dynamics and Information Import in Recurrent Neural Networks.

Claus Metzner, Patrick Krauss

Frontiers Comput. Neurosci., 2022

Classification at the Accuracy Limit - Facing the Problem of Data Ambiguity.

Claus Metzner, Achim Schilling, Maximilian Traxdorf, Konstantin Tziridis, Holger Schulze, Patrick Krauss

CoRR, 2022

Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception.

Achim Schilling, William Sedley, Richard Gerum, Claus Metzner, Konstantin Tziridis, Andreas K. Maier, Holger Schulze, Fan-Gang Zeng, Karl J. Friston, Patrick Krauss

CoRR, 2022

Neural Network based Successor Representations of Space and Language.

Paul Stoewer, Christian Schlieker, Achim Schilling, Claus Metzner, Andreas K. Maier, Patrick Krauss

CoRR, 2022

2021

Quantifying the separability of data classes in neural networks.

Achim Schilling, Andreas Maier, Richard Gerum, Claus Metzner, Patrick Krauss

Neural Networks, 2021

2019

Analysis of Structure and Dynamics in Three-Neuron Motifs.

Patrick Krauss, Alexandra Zankl, Achim Schilling, Holger Schulze, Claus Metzner

Frontiers Comput. Neurosci., 2019

Recurrence Resonance" in Three-Neuron Motifs.

Patrick Krauss, Karin Prebeck, Achim Schilling, Claus Metzner

Frontiers Comput. Neurosci., 2019

2018

How deep is deep enough? - Optimizing deep neural network architecture.

Achim Schilling, Jonas Rietsch, Richard Gerum, Holger Schulze, Claus Metzner, Patrick Krauss

CoRR, 2018

2017

A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals.

Patrick Krauss, Holger Schulze, Claus Metzner

Artif. Life, 2017

2015

Adaptive stochastic resonance based on output autocorrelations.

Patrick Krauss, Claus Metzner, Konstantin Tziridis, Holger Schulze

CoRR, 2015